1.Created Python Voice Assistant using advanced speech recognition for seamless task execution via voice commands.
2.Leveraged SpeechRecognition and NLTK libraries foraccurate speechto-text conversion and context-driven responses.
1.Developed Python-based ANPR system showcasing expertise in computer vision, utilizing OpenCV for robust license plate detection and character recognition.
2.Demonstrated proficiency in image preprocessing, contour analysis, and machine learning techniques, ensuring accurate performance across varied lighting conditions.
3Translated theoretical computer vision concepts into practical application, offering potential solutions for traffic management, parking, and law enforcement scenarios.
1.Engineered an loT-powered Smart Bulb, showcasing hardware integration skills, enabling remote control via a mobile app and voice commands.
2.Utilized microcontrollers and wireless modules, implemented MQTI for real-time communication, demonstrating expertise in Arduino programming and loT frameworks.
3.Enhanced user experience with customizable lighting, highlighting energy efficiency and responsive remote management for modern living environments.